ara-research-manager

Records research provenance as a post-task epilogue.

What this skill does for you

Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue : never during execution : to maintain a faithful, auditable trace of how a research project actually evolved.

Quoted from the skill description in the pinned source

Who made it

Publisherorchestra-research

Repositoryai-research-skills

Installs650as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the ara-research-manager skill from orchestra-research/ai-research-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Socket (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

Snyk (skills.sh mirror): Version unavailable. Scope: Not supplied by the mirrored record. Revision: not supplied. Raw findings: not supplied. Counted findings: Not supplied.

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: 773a52944ba4747a18bd4ae9ade53fff041adcbc. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: 773a52944ba4747a18bd4ae9ade53fff041adcbc. Raw findings: . Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: 773a52944ba4747a18bd4ae9ade53fff041adcbc. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/orchestra-research/ai-research-skills
Pinned skill file: View source at revision
Revision: 773a52944ba4747a18bd4ae9ade53fff041adcbc
Package hash: sha256:368f4ff1b876e5f86bfc761b96bc9f49bc33683cd6d9a83690a98e54596c45a1
Licence: MIT